17 of 17 ETL Jobs in Kent

Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities: Your daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation, ensuring data quality and availability. Writing clean, efficient, reusable Python code for More ❯

Fabric Analytics Engineer Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write More ❯

part of this role, you will be responsible for some of the following areas • Design and develop scalable data pipelines to support analytics and operational reporting. • Build and maintain ETL/ELT processes to ingest, transform, and store data from various sources. • Collaborate with clients including both technical and non-technical stakeholders to understand data needs and deliver solutions. • Implement … processes and pipelines to support knowledge sharing and onboarding. To be successful in the role you will have • Solid experience designing and delivering data solutions focused on Databricks • Strong ETL experience with tools such as ADF or SSIS • Experience working with Azure technologies – Synapse, Fabric, Data Lake • Knowledge of data architecture principles and data modelling What is on offer? • Starting More ❯

data governance, privacy, and security standards (GDPR, ISO 27001, NIST). Provide technical executive-level availability and aid to renewal in AI, ML, and scalable cloud data platforms. Define ETL/ELT strategies and optimise cloud resources for performance and cost efficiency. Develop proposals in collaboration with the sales team for AI and data-driven solutions. Deliver RFP responses, PoCs More ❯

and small group coaching sessions to support Data Engineer apprentices across a variety of industries Provide technical mentoring in core Data Engineering tools, techniques, and methodologies — including Python, SQL, ETL pipelines, data warehousing, cloud platforms, and version control Offer pastoral support, helping learners stay on track and fully motivated throughout their programme Support learners in building confidence and developing practical More ❯

and small group coaching sessions to support Data Engineer apprentices across a variety of industries Provide technical mentoring in core Data Engineering tools, techniques, and methodologies — including Python, SQL, ETL pipelines, data warehousing, cloud platforms, and version control Offer pastoral support, helping learners stay on track and fully motivated throughout their programme Support learners in building confidence and developing practical More ❯

Clear communication with both technical and non-technical stakeholders is essential. End-to-end solution Architecture experience with information systems and order architecture. Data - Data Architecture, Data Warehousing & Lakes, ETL/ELT Pipelines, Customer Data Platforms (CDPs), Data Governance & Compliance, or, Analytics & BI. Integration - API Design & Management, Middleware & ESB, Event-Driven Architecture, BSS/OSS Integration, Partner Ecosystem Integration, CI More ❯

Clear communication with both technical and non-technical stakeholders is essential. End-to-end solution Architecture experience with information systems and order architecture. Data - Data Architecture, Data Warehousing & Lakes, ETL/ELT Pipelines, Customer Data Platforms (CDPs), Data Governance & Compliance, or, Analytics & BI. Integration - API Design & Management, Middleware & ESB, Event-Driven Architecture, BSS/OSS Integration, Partner Ecosystem Integration, CI More ❯

technical requirements, data flows, and data formats. Experience creating functional and design specifications for platform architecture, data pipelines, and/or parser functionality. Familiarity with data integration techniques and ETL processes. Basic proficiency with scripting languages (e.g., Python) and data transformation tools. Understanding of RESTful APIs and data exchange formats (e.g., JSON, XML). Proven ability to work cross-functionally More ❯

technical requirements, data flows, and data formats. Experience creating functional and design specifications for platform architecture, data pipelines, and/or parser functionality. Familiarity with data integration techniques and ETL processes. Basic proficiency with scripting languages (e.g., Python) and data transformation tools. Understanding of RESTful APIs and data exchange formats (e.g., JSON, XML). Proven ability to work cross-functionally More ❯

/CD. Experience working in an agile framework preferable, including defining functional and non-functional requirements and sprint tasks. Understanding of data engineering, some experience with building production-grade ETL pipelines, as well as backend web development, backend-for-frontend, GraphQL, and FastAPI. Strong communication skills, able to communicate with both technical and commercial people. BSc or a MSc in More ❯

architecture, pipelines, and reporting solutions from the ground up. What You’ll Be Doing: Designing, building, and optimising scalable data pipelines, data warehouse structures, and integration processes. Implementing robust ETL solutions to consolidate data from multiple sources into the central data warehouse. Working with a fully cloud-based Azure ecosystem (including Azure Data Factory and Databricks). Exploring opportunities to More ❯

/trading. Excellent understanding of data quality principles. At least 3 years of experience in two or more of the following: Alteryx, Tableau, and SQL. Advanced knowledge of data ETL processes and database structures. #J-18808-Ljbffr More ❯

/trading. Excellent understanding of data quality principles. At least 3 years of experience in two or more of the following: Alteryx, Tableau, and SQL. Advanced knowledge of data ETL processes and database structures. #J-18808-Ljbffr More ❯

Skills & Experience Required 5+ years in product management with a focus on data platforms or enterprise SaaS products. Strong technical background with a solid understanding of data architectures, APIs, ETL pipelines, and cloud technologies (e.g., AWS, GCP, Azure). Proven experience working with CDPs, DMPs, CRMs, or similar customer data tools. Familiarity with identity resolution, customer segmentation, and real-time More ❯

Data, Azure Synapse, ADF, Data Warehousing, ETL, Pipelines, BI, PowerBI, SQL Permanent position only. Based in Kent. Our client is looking to recruit an experienced Data Engineer to join its Kent-based team. It does need someone who is a bit of an all-arounder who has experience across the skills: * Data * BI (PowerBI) * ETL Any experience with Azure Synapse More ❯

alignment with business objectives is a must have. Proficiency in data analysis techniques, including working with large datasets and identifying trends is a must have. Familiarity with data architecture, ETL process and cloud data platforms (eg. AWS, Azure, Google Cloud) is a must. Strong experience collaborating with diverse stakeholders, including business users and technical teams, is a must-have. Experience More ❯